文献类型：期刊文献

中文题名：从权威独白到协同生产:论生成式AI对新闻叙事模式的重构

作者：李锦[1];周春霞[1]

第一作者：李锦

机构：[1]北京联合大学应用文理学院

第一机构：北京联合大学应用文理学院

年份：2026

期号：1

起止页码：76-80

中文期刊名：北京文化创意

外文期刊名：Beijing Culture Creativity

基金：国家社科基金一般项目“数字叙事与当代叙事理论转型研究”(项目号:23BZW018)。

语种：中文

中文关键词：生成式AI;人机协同;新闻叙事;叙事重构

外文关键词：Generative AI;Human-Machine Collaboration;News Narrative;Narrative Reconstruction

摘要：生成式AI正推动新闻叙事从传统“权威独白”向人机协同生产重构。AI打破了记者权威独白主体的地位,构建了人机等多个行动元网络。随着记者向引导者与审核者转型,叙事权力随之重新分配,隐含作者也从稳定的媒介人格演变为数据化流动聚合体。同时,AI经过风格模仿进阶至个性化创作,可生成定制内容,传统线性叙事交流转为动态意义网络与人机协商模式。这一转型虽提升了叙事效能,却面临主体问责模糊等挑战,需明确人机协同边界、强化人类价值,以捍卫新闻叙事的公共性与真实性。
Generative AI is driving the restructuring of news narratives from traditional"authoritative monologues"toward human-machine collaborative production.AI has dismantled the journalist's position as the sole authoritative narrator,constructing a multi-agent network involving humans,machines,and other actors.As journalists transition into facilitators and reviewers,narrative authority undergoes redistribution,with the implied author evolving from a stable media persona into a datadriven,fluid collective.Simultaneously,AI has advanced from style mimicry to personalized creation,enabling the generation of customized content.Traditional linear narrative communication is shifting toward dynamic networks of meaning and humanmachine negotiation models.While this transformation enhances narrative efficiency,it faces challenges such as blurred accountability.Defining clear boundaries for human-machine collaboration and reinforcing human values are essential to safeguard the public nature and authenticity of news narratives.